R Shiny Apps for Introductory Applied Statistics (STA 215)
Organized by chapter of "Introductory Applied Statistics:
A Variable Approach," by Gabrosek and Stephenson
(book website)
| Chapter of GS |
Link to app |
Subject of app |
| Ch 2: One categorical variable |
Samp Dist Prop |
Sampling distribution of the sample proportion |
| CI Prop |
Confidence interval for a population proportion |
| HT Prop |
Hypothesis test for a population proportion |
| Ch 3: One quantitative variable |
Descriptives |
Numerical and graphical summaries for the distribution of a quantitative variable |
| Guess SD |
Given four histograms and four standard deviation values,
can you match the distribution to the SD? (made by Suchir Gupta) |
| CLT |
The sampling distribution of the sample mean and the Central Limit Theorem |
| Std Norm |
"Forward" and "Backward" calculations for the standard normal distribution |
| t Dist |
Comparing the t Distribution to the Standard Normal Distribution (and t* to z*) |
| CI Mean |
Confidence intervals for population mean |
| HT Mean |
Hypothesis tests for population mean |
| Ch 4: Two categorical variables |
ChiSq Test |
Enter the observed counts into a two-way table and see the expected counts,
the calculation of the chi-squared test statistic, a picture of the p-value, and
a geometric interpretation of the observed/expected counts.
|
| Ch 5: Two quantitative variables |
Slope-Int Form |
Slope-intercept form of a line |
| Least Squares |
The least squares regression line has the smallest sum of squared residuals out of all lines |
| Ch 6: Independent Two-Group Data |
Indep Two-Group |
Simulating independent two-group data; Confidence intervals and hypothesis
tests for the difference in population means |
| Type 1/2 Err |
Type 1 and 2 errors and power illustrated in the two-sample t test context |
| Appendix |
Tables |
Calculates the vaues given in Tables A.1-A.7 |
Other apps for Intro Stats
| Subject |
Link to app |
App description |
| Ch 3 (GS): One quantitative variable |
Conf Level |
Excellent visualization of the interpretation of the confidence
level as the proportion of confidence intervals from repeated samples
that contain the parameter (click on Confidence Interval) |
| Ch 5 (GS): Two quantitative variables |
Guess Corr |
Can you guess the correlation? (that is, match four scatterplots
to four correlation values) |
| Lock5 Book |
StatKey |
Apps designed for simulation-based inference approach that
encompany the Lock5 book |
| Rossman & Chance Applets |
Rossman/Chance |
Popular collection of classic apps
|